Q&A with Matt Amundson, VP of Marketing at Everstring

MEDIA 7 | November 14, 2019

Q&A with Matt Amundson
Matt Amundson, VP of Marketing at EverString has over 10 years of sales and marketing experience. Matt has held roles in Demand Generation and Sales Development at TIBCO, Marketo, FGXI and Red Bull. His primary focus has been on creating processes that generate a consistent, pipeline.

MEDIA 7: Could you tell us about your mantra “Go for the run”?
MATT AMUNDSON:
On December 29th of 2017, I decided to change my lifestyle habits and decided that I’m going to run a minimum of one mile every single day. So, every day since that day I’ve got up and ran. It’s been a seminal moment where my approach on life and work has changed dramatically. And as a result of that, it’s become a personal mantra, which is to not be afraid of where you might be today. If you’ve got some lofty goals or if you want to try something new, just get out there and give it a try and see what the results of it could be. On a personal level, whether you’re physically tired or don’t feel like doing it, just give it a shot and go for it. On a professional level, if it’s something that can benefit you or your brand give it a try, go for it and see what happens.

M7: What is your favorite part about working at EverString?
MA:
I really love the people that I work with and I’ve been at the organization for about four and a half years. Some of the folks that I’ve worked with since the beginning are still here and it’s just been an awesome journey to be on with some incredible colleagues and that’s just on a personal level. On a professional level, I think we’re all solving a major problem that a lot of organizations are suffering from – which is related to data. As a marketer who has existed in the mar tech space for the broader part of my career, we often think of our process improvements and workflow improvements to gain more efficiency. Whether that’s marketing automation system or a cool new technology like conversational AI most people fall into two camps when it comes to data, either they’re just not conscious of data or they are. The data that they purchase or the data they acquire ultimately powers everything they do from a marketing perspective or they’re used to the status quo of current data providers that provide low quality of data and are sort of mired in the “well I guess that’s the way it is and that’s just the quality level that I have to deal with”. The fact that we’re changing that for some of the world’s biggest brands like Capital One, FedEx, Staples, Autodesk, Oracle as well as the smaller brands is really exciting to me.


"The world’s largest businesses do really large contracts with much bigger deals because they are so data focused and we can provide not only the data but also data science to go along with that."

M7: How does EverString’s data platform stand out from the rest in delivering high coverage as well as accuracy for data vendors?
MA:
The high-quality of our data lies in the way that we collect data versus the way that traditional data vendors collect. The traditional route for collecting data is by using a couple of different ways, but the most traditional would be to have a call from somewhere where people are just dialing into an organization and asking them for data about their companies. That’s problematic for a lot of reasons, one being – you’re essentially relying on people to give you accurate answers to the frequency at which you’re updating. This is fairly sparse because you’re not always going to get a hold of somebody as businesses are changing.

The way EverString does it is by taking a more digital approach to it – we use machine learning and artificial intelligence not only to go out and scrape and collect data and update that data on a monthly basis but we also use artificial intelligence to say, if these companies are similar, the likelihood that they have the same attributes or technology or number of sales employees or engineering employees is probably true as well. So, we’re able to predict that type of data and then feed it back through people to go in and verify. So essentially, we’re able to collect data on a much broader set of companies in a much faster fashion and we’re able to update that data much more frequently than any of our competitors. 

M7: What marketing channels do you use and which ones do you see as the most promising given your target customers?
MA:
We have a fairly small marketing department; we only have five people on the team. But I think the team that we have here is very efficient, and the channels that we generally lean into are the traditional channels of email, digital marketing through both PPC display advertising as well as using platforms like LinkedIn and Facebook which have actually been successful for us.

One of the things that we do is we’re very heavy direct mail marketers and we’ve found a lot of efficiency gain from that. We’re also very well–known for doing really great events, we did a party at Marketo summit in 2016 that had about 3000 people there and luckily, we had Will Smith as the keynote presenter from Marketo summit come and perform in the party. So, that was an amazing event that we’ve been very well known for.


"There’s just a lot of in accuracy and incompleteness in data so modelling that data to try to predict outcomes is problematic."

M7: Since you joined the company EverString in 2015, what paradigm shift do you see in the company today?
MA:
 In the early days of the business we really focused on being primarily a data science company where we wanted to roll out our customer’s data to essentially model and predict outcomes. And the problem with that was a lot of what I talked about at the top of our conversation. There’s just a lot of inaccuracy and incompleteness in data so modelling that data to try to predict outcomes was problematic. And what we realized three years ago was we couldn’t just be a data science company we also had to be a data company and so we set out on this journey to become the data company and realistically about 18 months ago we saw the fruit of that work. For about the last six quarters we’ve been able to go into some of the world’s largest businesses and do really large contracts with much bigger deals because they are so data focused and we can provide not only the data but also data science to go along with that. So, it’s not just that they consume raw data from us but also let us use our own internal data science capabilities to make sense of that data to help marketers do better segmentation, for sales people to have better insights into why they should be reaching out to an account when they should be reaching out to an operations teams to be able to provide their go-to-market teams with just a much higher quality of data.



"Everstring makes sense of data to help marketers do better segmentation and for sales people to have better insights into why they should be reaching out to an account or operations teams."

M7: How old were you when you had your first paying job?
MA:
 I think I was about 10 years old and I fall into like the fairly regular category of a lot of people that I know in the professional world who began their careers as adolescents with a paper route. So, I was like the neighborhood paperboy for a number of years and that was interesting because that taught me a lot of lessons and how to ask people for money which is fairly difficult. It also taught me discipline and building routines and processes around making sure you get up early making sure papers are delivered on time. So, it was a great learning lesson for me. I didn’t necessarily think about it in the time I just kind of thought about the 50 bucks a month that I was getting to go spend on candy and toys.

ABOUT EVERSTRING

EverString’s AI SaaS solution is designed for B2B sales and marketing professionals to drive pipeline growth, help close new customers, expand into new markets, prioritize accounts, and provide actionable insights – all without the need for an administrator.

EverString is backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, IDG Ventures and Lakestar. For more information, visit www.everstring.com.

More THOUGHT LEADERS

Q&A with Charles Southwood, Vice President, N. Europe and MEA at Denodo

Media 7 | September 15, 2021

Charles Southwood, Regional VP at Denodo Technologies is responsible for the company’s business revenues in Northern Europe, Middle East and South Africa. He is passionate about working in rapidly moving and innovative markets to support customer success and to align IT solutions that meet the changing business needs. With a degree in engineering from Imperial College London, Charles has over 20 years of experience in data integration, big data, IT infrastructure/IT operations and Business Analytics....

Read More

Q&A with Vishal Srivastava, Vice President (Model Validation) at Citi

Media 7 | September 8, 2021

Vishal Srivastava, Vice President (Model Validation) at Citi was invited as a keynote speaker to present on Fraud Analytics using Machine Learning at the International Automation in Banking Summit in New York in November 2019. Vishal has experience in quantitative risk modeling using advanced engineering, statistical, and machine learning technologies. His academic qualifications in combination with a Ph.D. in Chemical Engineering and an MBA in Finance have enabled him to challenge quantitative risk models with scientific rigor. Vishal’s doctoral thesis included the development of statistical and machine learning-based risk models—some of which are currently being used commercially. Vishal has 120+ peer-reviewed citations in areas such as risk management, quantitative modeling, machine learning, and predictive analytics....

Read More

Q&A with Sadiqah Musa, Co-Founder at Black In Data

Media 7 | September 1, 2021

Sadiqah Musa, Co-Founder at Black In Data, is also an experienced Senior Data Analyst at Guardian News and Media with a demonstrated history of working in the energy and publishing sectors. She is skilled in Advanced Excel, SQL, Python, data visualization, project management, and Data Analysis and has a strong professional background with a Master of Science (MSc) from The University of Manchester....

Read More

Q&A with Charles Southwood, Vice President, N. Europe and MEA at Denodo

Media 7 | September 15, 2021

Charles Southwood, Regional VP at Denodo Technologies is responsible for the company’s business revenues in Northern Europe, Middle East and South Africa. He is passionate about working in rapidly moving and innovative markets to support customer success and to align IT solutions that meet the changing business needs. With a degree in engineering from Imperial College London, Charles has over 20 years of experience in data integration, big data, IT infrastructure/IT operations and Business Analytics....

Read More

Q&A with Vishal Srivastava, Vice President (Model Validation) at Citi

Media 7 | September 8, 2021

Vishal Srivastava, Vice President (Model Validation) at Citi was invited as a keynote speaker to present on Fraud Analytics using Machine Learning at the International Automation in Banking Summit in New York in November 2019. Vishal has experience in quantitative risk modeling using advanced engineering, statistical, and machine learning technologies. His academic qualifications in combination with a Ph.D. in Chemical Engineering and an MBA in Finance have enabled him to challenge quantitative risk models with scientific rigor. Vishal’s doctoral thesis included the development of statistical and machine learning-based risk models—some of which are currently being used commercially. Vishal has 120+ peer-reviewed citations in areas such as risk management, quantitative modeling, machine learning, and predictive analytics....

Read More

Q&A with Sadiqah Musa, Co-Founder at Black In Data

Media 7 | September 1, 2021

Sadiqah Musa, Co-Founder at Black In Data, is also an experienced Senior Data Analyst at Guardian News and Media with a demonstrated history of working in the energy and publishing sectors. She is skilled in Advanced Excel, SQL, Python, data visualization, project management, and Data Analysis and has a strong professional background with a Master of Science (MSc) from The University of Manchester....

Read More

Related News

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

Leader in Real-Time Data Platforms Launches Aerospike Connect for Elasticsearch

Aerospike | January 23, 2023

Aerospike, Inc., the leader in real-time data platforms, has launched Aerospike Connect for Elasticsearch. The new connection allows developers and data architects to use Elasticsearch, a prominent open-source search and analytics tool, to do rapid full-text searches on real-time data stored in Aerospike Database 6. Aerospike Connect for Elasticsearch contributes to the company's 2023 goal of delivering complete search and analytics capabilities for the Aerospike Database. Using Elasticsearch, the new connection provides quick full-text searches on Aerospike Database 6 data. Additionally, it complements the recently announced Aerospike SQL powered by Starburst product, which enables users to execute large-scale SQL analytics queries on Aerospike Database 6 data. Aerospike users now have various options to choose from to fuel their search and analytics use cases, thanks to the company's extensive list of capabilities, which now includes the newly announced JSONPath Query support in Aerospike Database 6. Full-Text-Search for Real-time Data Use Cases Using Aerospike Connect for Elasticsearch, developers and data architects can swiftly integrate Aerospike's high-performance, scalable, NoSQL database with Elasticsearch to allow a variety of full-text search-based use cases, such as: Customer Support: enhanced self-service and minimized service delivery expenses. E-commerce: enhanced client experience that increases the shopping cart size. Website Experience: Rapid resource availability and enhanced site conversions. Federal: Mission-critical real-time applications will be more effectively maintained in smart cities. Workplace Applications: search across different productivity tools in one place. Growing Portfolio of Enterprise Integrations Aerospike Connect for Elasticsearch is expanding the Aerospike Connect product line's list of connectors for enterprise data pipelines. In addition, Aerospike clients now have additional options for integrating Aerospike's high performance and scalability into their current data pipelines as a result of the success of multiple customers utilizing connectors for Pulsar, Kafka, Spark, and Presto-Trino. About Aerospike Aerospike's real-time data platform allows businesses to respond quickly across billions of transactions while decreasing their server footprint by up to 80%. The multi-cloud platform enables real-time applications with predictable sub-millisecond speed up to petabyte size, with 99.999% uptime and globally distributed, highly consistent data. Applications built on the real-time data platform combat fraud, provide suggestions that significantly boost shopping cart size, facilitate worldwide digital payments, and give hyper-personalized user experiences to tens of millions of consumers. Customers, including Airtel, the European Central Bank, Experian, Nielsen, Snap, PayPal, Verizon Media, and Wayfair, depend on Aerospike as their future data basis. Aerospike is headquartered in Mountain View, California, and has offices in London, Tel Aviv, and Bangalore.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE

Couchbase Announces Microsoft Azure Support for Capella DBaaS

Couchbase | January 19, 2023

On January 18, 2023, Couchbase, Inc., a cloud database platform company, announced the availability of Couchbase Capella™ Database-as-a-Service (DBaaS) on Azure. As a result, customers of Couchbase will be able to take the benefits of the trusted Azure cloud platform with smooth deployment and management. Capella on Azure enables clients to enhance application alignment and support hybrid and multi-cloud strategies on a single platform. In addition, it delivers the best price-to-performance ratio among DBaaS providers. General Manager of Microsoft Azure at Microsoft Corp, Jake Zborowski, said, "With Capella on Microsoft Azure, customers around the world can easily deploy premium-experience modern applications to run on the trusted Azure platform." He also stated, "We're happy to welcome Couchbase Capella to the growing Azure ecosystem." (Source – Cision PR Newswire) Capella is an entirely managed DBaaS that offloads database operations. As a result, it drastically reduces the total cost of ownership, provides developers with database flexibility, and allows performance at scale for creating modern applications. In addition, the familiarity with SQL++ as the query language and the new user interface of Capella, which was influenced by popular developer-centric tools such as GitHub, reduces the learning curve for developers and other users across companies, resulting in better agility and productivity. Couchbase Capella’s client advantages include: Development flexibility Mobile and IoT app synchronization Multi-cloud High availability and automated scaling Cost efficiency at scale Senior VP of Product Management and Business Operations at Couchbase, Scott Anderson, said, "We are investing heavily in making Capella more accessible than ever before to give developers and organizations a cloud database platform to power their most mission-critical applications." He added, "Providing flexibility to go across cloud service providers is a huge advantage in today's multi- and hybrid-cloud world. By extending Capella to Azure, we can better support our customers as they deploy innovative applications on the cloud of their choice." (Source – Cision PR Newswire) About Couchbase Couchbase, Inc. is an American public software firm that develops and offers commercial packages and support for Couchbase Server and Couchbase Lite, which are both open-source, NoSQL, multi-model, document-oriented database software packages that store JSON documents or a key-value database. The company's objective is to make it easier for developers and architects to create, deploy, and use modern apps in any location. It has redesigned the database with its fast, flexible, and cost-effective cloud database platform, Capella, enabling enterprises to develop apps that offer superior customer experiences rapidly. Over 30 percent of Fortune 100 rely on Couchbase to power their modern apps.

Read More

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

Arize Introduces Data Lake Connectors

Arize AI | January 24, 2023

On January 23, 2023, Arize AI, an industry leader in machine learning observability, introduced a connection solution for BigQuery, Redshift, Delta Lake, and Snowflake data lakes. As a result, Arize customers with centrally managed inference stores can rapidly connect their ML table data to Arize via Data Lake Connectors for strong model observability. Arize is the market leader in terms of both volumes of models and predictions tracked, surpassing billions of predictions daily. So far, ML observability platforms have struggled to simplify their deployments while simultaneously managing billions of predictions and complicated monitoring services, such as embedding drift. The latest Arize version for data connectors expands clients' connectivity options with the widely used data lakes. The launch comes as the machine learning community converges on various MLOps designs. A modern machine learning architecture approach involves storing inference data in a data lake. ML teams are designing these ML data lakes to power feature stores for feature serving and an inference store for analysis. Arize Data Lake Connectors are intended for smooth integration with today's data lake architectures. Among the benefits of connecting directly to the ML data store are the following: Financial savings can be substantial as compared to alternative techniques of ML monitoring. Teams can run off of an SSOT Integration and onboarding are accelerated and simplified Arize now connects with cloud storage providers (such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services), Python pipelines through an SDK, and Kafka Streaming. With this release, users of data lakes may get real-time model insights more efficiently than ever before. In addition, the platform provides fully managed built-in connectors as part of its cloud and VPC platform, eliminating the need for users to build and maintain complex data pipelines or use a separate ETL tool and providing real-time model performance analysis and monitoring. About Arize AI Arize AI offers an ML observability platform that monitors models and provides insights for troubleshooting production AI. The firm was established in 2020 in Berkeley, California. It allows corporate clients to monitor the performance of AI models using software that searches for unanticipated biases in algorithms, does root-cause analysis when issues arise, and enhances overall model performance. Arize operates in the background, analyzing internal and external data to forecast demand and eliminate supply chain network errors and sales losses. Adobe, Chick-fil-A, and eBay are among the fifty clients of Arize AI.

Read More

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

Leader in Real-Time Data Platforms Launches Aerospike Connect for Elasticsearch

Aerospike | January 23, 2023

Aerospike, Inc., the leader in real-time data platforms, has launched Aerospike Connect for Elasticsearch. The new connection allows developers and data architects to use Elasticsearch, a prominent open-source search and analytics tool, to do rapid full-text searches on real-time data stored in Aerospike Database 6. Aerospike Connect for Elasticsearch contributes to the company's 2023 goal of delivering complete search and analytics capabilities for the Aerospike Database. Using Elasticsearch, the new connection provides quick full-text searches on Aerospike Database 6 data. Additionally, it complements the recently announced Aerospike SQL powered by Starburst product, which enables users to execute large-scale SQL analytics queries on Aerospike Database 6 data. Aerospike users now have various options to choose from to fuel their search and analytics use cases, thanks to the company's extensive list of capabilities, which now includes the newly announced JSONPath Query support in Aerospike Database 6. Full-Text-Search for Real-time Data Use Cases Using Aerospike Connect for Elasticsearch, developers and data architects can swiftly integrate Aerospike's high-performance, scalable, NoSQL database with Elasticsearch to allow a variety of full-text search-based use cases, such as: Customer Support: enhanced self-service and minimized service delivery expenses. E-commerce: enhanced client experience that increases the shopping cart size. Website Experience: Rapid resource availability and enhanced site conversions. Federal: Mission-critical real-time applications will be more effectively maintained in smart cities. Workplace Applications: search across different productivity tools in one place. Growing Portfolio of Enterprise Integrations Aerospike Connect for Elasticsearch is expanding the Aerospike Connect product line's list of connectors for enterprise data pipelines. In addition, Aerospike clients now have additional options for integrating Aerospike's high performance and scalability into their current data pipelines as a result of the success of multiple customers utilizing connectors for Pulsar, Kafka, Spark, and Presto-Trino. About Aerospike Aerospike's real-time data platform allows businesses to respond quickly across billions of transactions while decreasing their server footprint by up to 80%. The multi-cloud platform enables real-time applications with predictable sub-millisecond speed up to petabyte size, with 99.999% uptime and globally distributed, highly consistent data. Applications built on the real-time data platform combat fraud, provide suggestions that significantly boost shopping cart size, facilitate worldwide digital payments, and give hyper-personalized user experiences to tens of millions of consumers. Customers, including Airtel, the European Central Bank, Experian, Nielsen, Snap, PayPal, Verizon Media, and Wayfair, depend on Aerospike as their future data basis. Aerospike is headquartered in Mountain View, California, and has offices in London, Tel Aviv, and Bangalore.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE

Couchbase Announces Microsoft Azure Support for Capella DBaaS

Couchbase | January 19, 2023

On January 18, 2023, Couchbase, Inc., a cloud database platform company, announced the availability of Couchbase Capella™ Database-as-a-Service (DBaaS) on Azure. As a result, customers of Couchbase will be able to take the benefits of the trusted Azure cloud platform with smooth deployment and management. Capella on Azure enables clients to enhance application alignment and support hybrid and multi-cloud strategies on a single platform. In addition, it delivers the best price-to-performance ratio among DBaaS providers. General Manager of Microsoft Azure at Microsoft Corp, Jake Zborowski, said, "With Capella on Microsoft Azure, customers around the world can easily deploy premium-experience modern applications to run on the trusted Azure platform." He also stated, "We're happy to welcome Couchbase Capella to the growing Azure ecosystem." (Source – Cision PR Newswire) Capella is an entirely managed DBaaS that offloads database operations. As a result, it drastically reduces the total cost of ownership, provides developers with database flexibility, and allows performance at scale for creating modern applications. In addition, the familiarity with SQL++ as the query language and the new user interface of Capella, which was influenced by popular developer-centric tools such as GitHub, reduces the learning curve for developers and other users across companies, resulting in better agility and productivity. Couchbase Capella’s client advantages include: Development flexibility Mobile and IoT app synchronization Multi-cloud High availability and automated scaling Cost efficiency at scale Senior VP of Product Management and Business Operations at Couchbase, Scott Anderson, said, "We are investing heavily in making Capella more accessible than ever before to give developers and organizations a cloud database platform to power their most mission-critical applications." He added, "Providing flexibility to go across cloud service providers is a huge advantage in today's multi- and hybrid-cloud world. By extending Capella to Azure, we can better support our customers as they deploy innovative applications on the cloud of their choice." (Source – Cision PR Newswire) About Couchbase Couchbase, Inc. is an American public software firm that develops and offers commercial packages and support for Couchbase Server and Couchbase Lite, which are both open-source, NoSQL, multi-model, document-oriented database software packages that store JSON documents or a key-value database. The company's objective is to make it easier for developers and architects to create, deploy, and use modern apps in any location. It has redesigned the database with its fast, flexible, and cost-effective cloud database platform, Capella, enabling enterprises to develop apps that offer superior customer experiences rapidly. Over 30 percent of Fortune 100 rely on Couchbase to power their modern apps.

Read More

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

Arize Introduces Data Lake Connectors

Arize AI | January 24, 2023

On January 23, 2023, Arize AI, an industry leader in machine learning observability, introduced a connection solution for BigQuery, Redshift, Delta Lake, and Snowflake data lakes. As a result, Arize customers with centrally managed inference stores can rapidly connect their ML table data to Arize via Data Lake Connectors for strong model observability. Arize is the market leader in terms of both volumes of models and predictions tracked, surpassing billions of predictions daily. So far, ML observability platforms have struggled to simplify their deployments while simultaneously managing billions of predictions and complicated monitoring services, such as embedding drift. The latest Arize version for data connectors expands clients' connectivity options with the widely used data lakes. The launch comes as the machine learning community converges on various MLOps designs. A modern machine learning architecture approach involves storing inference data in a data lake. ML teams are designing these ML data lakes to power feature stores for feature serving and an inference store for analysis. Arize Data Lake Connectors are intended for smooth integration with today's data lake architectures. Among the benefits of connecting directly to the ML data store are the following: Financial savings can be substantial as compared to alternative techniques of ML monitoring. Teams can run off of an SSOT Integration and onboarding are accelerated and simplified Arize now connects with cloud storage providers (such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services), Python pipelines through an SDK, and Kafka Streaming. With this release, users of data lakes may get real-time model insights more efficiently than ever before. In addition, the platform provides fully managed built-in connectors as part of its cloud and VPC platform, eliminating the need for users to build and maintain complex data pipelines or use a separate ETL tool and providing real-time model performance analysis and monitoring. About Arize AI Arize AI offers an ML observability platform that monitors models and provides insights for troubleshooting production AI. The firm was established in 2020 in Berkeley, California. It allows corporate clients to monitor the performance of AI models using software that searches for unanticipated biases in algorithms, does root-cause analysis when issues arise, and enhances overall model performance. Arize operates in the background, analyzing internal and external data to forecast demand and eliminate supply chain network errors and sales losses. Adobe, Chick-fil-A, and eBay are among the fifty clients of Arize AI.

Read More